code: def _maybe_convert_sets(target_dir, extracted_data):
      extracted_dir = os.path.join(target_dir, extracted_data)
      for source_csv in glob(os.path.join(extracted_dir, "*.csv")):
          _maybe_convert_set(
              extracted_dir,
              source_csv,
              os.path.join(target_dir, os.path.split(source_csv)[-1]),
          )
  
file_path: DeepSpeech/bin/import_cv.py
imports: import csv
  import os
  import sys
  import subprocess
  import tarfile
  from glob import glob
  from multiprocessing import Pool
  import progressbar
  import sox
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, print_import_report
  from deepspeech_training.util.importers import validate_label_eng
label_desc: Use image node_id 3 for calling a global function with example usage: _maybe_convert_sets(target_dir, extracted_data) without return types